Roman Lutz

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Miroslav DudikMicrosoft ResearchVerified email at microsoft.com
Hanna WallachPartner Research Manager, Microsoft ResearchVerified email at dirichlet.net
Sarah BirdMicrosoftVerified email at microsoft.com
Hilde J.P. WeertsEindhoven University of TechnologyVerified email at tue.nl
Michael A. MadaioGoogle ResearchVerified email at google.com
Eslam KamalGroup Engineering Manager at MicrosoftVerified email at microsoft.com
Federico ZarfatiMicrosoftVerified email at microsoft.com
Ahmed MagoodaPhD Student at University of PittsburghVerified email at pitt.edu
Emily ShengMicrosoft ResearchVerified email at microsoft.com
Chad AtallaMicrosoftVerified email at microsoft.com
Mei ChenTsinghua, Carnegie Mellon, MicrosoftVerified email at albany.edu
Hamid PalangiGoogle and University of WashingtonVerified email at google.com
Alec HelyarMicrosoftVerified email at microsoft.com
David SullivanMicrosoftVerified email at microsoft.com
Valentin KassarnigCTO @ SoSha | Doctoral Researcher @ Graz University of TechnologyVerified email at ist.tugraz.at
Blake BullwinkelMicrosoftVerified email at microsoft.com
Mehrnoosh (Mers) SamekiTechnical Product Manager at MicrosoftVerified email at microsoft.com
Adrin Jalaliscikit-learn core developer, Berlin, Germany
Ram Shankar Siva KumarMicrosoftVerified email at microsoft.com
Amanda J. MinnichResearch Scientist, Lawrence Livermore National LabVerified email at llnl.gov

Roman Lutz

Responsible AI Engineer at Microsoft

Verified email at microsoft.com - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fairlearn: A toolkit for assessing and improving fairness in AI S Bird, M Dudik, R Edgar, B Horn, R Lutz, V Milan, M Sameki, H Wallach, ... https://www.microsoft.com/en-us/research/publication/fairlearn-a-toolkit-for …, 2020	453	2020
Fairlearn: Assessing and improving fairness of AI systems H Weerts, M Dudík, R Edgar, A Jalali, R Lutz, M Madaio Journal of Machine Learning Research 24 (257), 1-8, 2023	73	2023
Adaptive Large Neighborhood Search R Lutz University of Ulm OPARU http://dx.doi.org/10.18725/OPARU-3237, 2015	31	2015
Fantasy Football Prediction R Lutz arXiv preprint arXiv:1505.06918, 2015	18	2015
A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications A Magooda, A Helyar, K Jackson, D Sullivan, C Atalla, E Sheng, D Vann, ... arXiv preprint arXiv:2310.17750, 2023	10	2023
Security and Privacy in Future Internet Architectures-Benefits and Challenges of Content Centric Networks R Lutz arXiv preprint arXiv:1601.01278, 2016	10	2016
NFL Play Prediction B Teich, R Lutz, V Kassarnig arXiv preprint arXiv:1601.00574 [cs.LG], 2016	4	2016
PyRIT: A Framework for Security Risk Identification and Red Teaming in Generative AI System GDL Munoz, AJ Minnich, R Lutz, R Lundeen, RSR Dheekonda, ... arXiv preprint arXiv:2410.02828, 2024		2024

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